Civil Engineering Reference
In-Depth Information
Congress on Advances in Civil Engineering
, 11-13 October. Yildiz Technical Univer-
sity, Istanbul, Turkey.
Chae, M.J., Iseley, T. and Abraham, D.M. (2003) Computerized Sewer Pipe Condition
Assessment. In:
Proceedings of the ASCE International Conference on Pipeline Engi-
neering and Construction
, Baltimore, pp. 477-493. American Society of Civil Engi-
neers (ASCE), Reston, VA.
Chakraborty, B., Rudovic, O., and Gonzalez, J. (2008) View-Invariant Human-Body
Detection with Extension to Human Action Recognition using Component-Wise
HMM of Body Parts. In:
Proceedings of 8th IEEE International Conference on
Automatic Face & Gesture Recognition
, pp. 1-6. Institute of Electrical and Electronics
Engineers (IEEE), New York.
Chen, P.H. and Chang, L.M. (2002) Intelligent steel bridge coating assessment using
neuro-fuzzy recognition approach.
Computer Aided Civil and Infrastructure Engi-
neering
,
17
(5), 307-319.
Cheng, H., Shi, X. and Glazier, C. (2003) Real-time image thresholding based on sample
space reduction and interpolation approach.
Journal of Computing in Civil Engi-
neering
,
(4), 264-272.
Cornelis, N. and Van-Gool, L. (2008) Fast Scale Invariant Feature Detection and
Matching on Programmable Graphics Hardware. In: Computer Vision and Pattern
Recognition Workshop, 2008, IEEE Computer Society Conference, Anchorage, AK,
pp. 1-8. Institute of Electrical and Electronics Engineers (IEEE), New York.
Dalal, N. and Triggs, B. (2005) Histograms of Oriented Gradients for Human Detection.
In:
Proceedings of IEEE Conference of on Computer Vision and Pattern Recognition
,
Vol. 1, pp. 886-893. Institute of Electrical and Electronics Engineers (IEEE), New
York.
David, P. and DeMenthone, D. (2005) Object Recognition in High Clutter Images using
Line Features. In:
Proceedings of the 10th IEEE Int. Conf. on Computer Vision
,
pp. 1581-1588. Institute of Electrical and Electronics Engineers (IEEE), New York.
Fernandes, L. and Oliveira, M. (2008) Real-time line detection through an improved
Hough transform voting scheme.
Pattern Recognition
,
17
(1), 299-314.
FHWA, (Federal Highway, Administration) (2003) Distress Identification Manual for
the Long-Term Pavement Performance Program, FHWA-RD-03-031. Federal High-
way Administration, Washington, DC.
FHWA, (Federal Highway Administration) (2009) LTPP - Beyond FY 2009: What needs
to be done?, Technical Report, FHWA-HRT-09-052. Federal Highway Administra-
tion, Washington, DC.
Fugro Roadware (2004)
Software: WiseCrax
. Data sheet available at: http://www.
fugroroadware.com/related/WiseCrax-PDF (Accessed January 26, 2012).
Ge, F., Liu, T., Wang, S. and Stahl, J. (2008) Template-Based Object Detection through
Partial Shape Matching and Boundary Verification.
J. of Sig. Processing
,
41
4
(1),
148-157.
Georick, C., Noll, D, and Werner, M. (1996) Artificial neural networks in real-time car
detection and tracking applications.
Pattern Recognition Letters
,
(4), 335-343.
German, S., Brilakis, I., and DesRoches, R. (2011) Rapid Entropy-Based Detection
and Properties Measurement of Concrete Spalling with Machine Vision for Post-
Earthquake Safety Assessments.
Journal of Advanced Engineering Informatics
(in
print).
Golparvar-Fard, M., Savarese, S., and Pe
17
na-Mora, F. (2009) Interactive Visual Con-
struction Progress Monitoring with 4D Augmented Reality Model. In:
Proceedings of
~
Search WWH ::
Custom Search